slack-context-memory

name	slack-context-memory
description	Conversation summarization and context compaction for Slack channels. Reduces context window usage by 70-99% while preserving key information through semantic summaries.

Slack Context Memory

Compress Slack conversation history into searchable summaries for context-efficient sessions.

Problem Solved

Clawdbot sessions lose context as conversation history grows. This skill:

1. Detects conversation boundaries in Slack message history
2. Generates structured summaries (TL;DR, decisions, topics, outcome)
3. Stores summaries with embeddings for semantic search
4. Compacts context - replace 1000s of messages with a few summaries
5. Enables semantic retrieval - find relevant past discussions

Quick Start

# Setup database schema
cd /home/david/clawd/scripts/slack-context-memory
node setup-schema.js

# View compacted context for a channel
node context-compactor.js C0ABGHA7CBE

# Compare original vs compacted size
node context-compactor.js C0ABGHA7CBE --compare

# Search for relevant conversations
node context-compactor.js --query "email newsletter filtering"

Token Savings

Channel	Original	Compacted	Savings
#accounts (1000 msgs)	112K tokens	951 tokens	99.2%
#homeassistant (50 msgs)	3.1K tokens	911 tokens	70.8%

Components

Conversation Detection

node detect-conversations.js <channel_id>
node detect-conversations.js --all

Context Compaction

node context-compactor.js <channel_id> --recent 20
node context-compactor.js <channel_id> --compare
node context-compactor.js --query "search term"

Search

node search-conversations.js semantic "query"
node search-conversations.js text "query"
node search-conversations.js recent --limit 10

Requirements

• PostgreSQL database with pgvector
• Node.js 18+
• Slack message history in database

Database Schema

The conversation_summaries table stores:

• tldr - 1-2 sentence summary
• full_summary - Detailed summary
• key_decisions - Array of decisions made
• topics - Array of topics discussed
• outcome - resolved/ongoing/needs-follow-up
• embedding - Vector for semantic search (1024-dim)

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Built for Clawdbot 🦞 | 2026-01-28